Product manufacturing system, malware detection system, product manufacturing method, and malware detection method

ABSTRACT

Provided is a product manufacturing system including: a manufacture control apparatus configured to hold manufacturing data on a product; a virtual manufacturing apparatus configured to virtually manufacture the product by simulation, based on the manufacturing data on the product in the manufacture control apparatus; a physical manufacturing apparatus configured to physically manufacture the product based on the manufacturing data in the manufacture control apparatus; an abnormality determination unit configured to determine whether there is an abnormality in the virtual manufacture of the product by the virtual manufacturing apparatus. When it is determined there is no abnormality from the virtual manufacture of the product, the physical manufacturing apparatus physically manufactures the product.

TECHNICAL FIELD

The present disclosure relates to a product manufacturing system, amalware detection system, a product manufacturing method, and a malwaredetection method.

BACKGROUND ART

Recent years have seen active initiatives aiming to improveproductivity, create new value, and produce new business models byconnecting with things or services both in and out of factories over acommunications network such as the internet.

On the other hand, cyber attacks via, e.g., hacking or malware, arebecoming more frequent on the internet. Cyber attacks of hacking andstealing information increase with each passing year. Factories havebeen targeted as well; cases of manufacturing data being altered viaunauthorized manipulation, leading to the manufacture of defectivegoods, halting of manufacturing equipment, and damage of equipment havebeen reported. Accordingly, there is a need to increase the level ofsecurity in factories.

Patent Literature (PTL) 1 is one example of patent literature thatdiscloses a technique for detecting an abnormality in a network. Theabnormality detection system according to PTL 1 includes control systems(one example of the manufacturing system), monitoring units, and amanagement unit.

The control systems are connected to a network, and operate inindividual protected areas. The monitoring units are provided for eachof the control systems. The monitoring unit in one control systeminspects data exchanged between another monitoring unit that it ismonitoring, and transmits an abnormality notification when it suspectsthere is an abnormality in the control system it is monitoring. Themanagement unit collects abnormality notifications transmitted from themonitoring units in the control systems, evaluates the reputations ofthe control systems suspected of including an abnormality, and whenthere is determined to be an abnormality after comparing the evaluationresult with reference criteria, restricts at least outbound traffic fromthe protected area in which the control system suspected of including anabnormality is operating.

In this abnormality detection system, control systems suspected ofincluding an abnormality are efficiently detected, and control systemsconfirmed to include an abnormality are isolated.

CITATION LIST Patent Literature

[PTL 1]: Japanese Patent No. 5689333

[PTL 2]: Japanese Patent No. 5898024

[PTL 3]: WO2016/092962

SUMMARY OF THE INVENTION Technical Problems

However, in order to implement the conventional abnormality detectionsystem, the existing manufacturing system needs to be significantlymodified. One conceivable option is to change the existing components inthe manufacturing system so that the manufacturing data is not altered.However, in a typical factory manufacturing system, the system is usedfor a long period of time, over which encryption technology used toensure security becomes outdated, and the code bit length used becomesinsufficient.

The present disclosure was conceived to overcome such problems and hasan object to provide a product manufacturing system, a malware detectionsystem, a product manufacturing method, and a malware detection methodcapable of detecting an abnormality in manufacturing data withoutneeding to significantly modify an existing manufacturing system.

Solutions to Problems

In order to achieve the above-described object, a product manufacturingsystem according to one aspect of the present disclosure is one thatmanufactures a product, and includes: a manufacture control apparatusconfigured to hold manufacturing data on the product; a virtualmanufacturing apparatus configured to virtually manufacture the productby simulation, based on the manufacturing data on the product held inthe manufacture control apparatus; a physical manufacturing apparatusconfigured to physically manufacture the product based on themanufacturing data held in the manufacture control apparatus; and anabnormality determination unit configured to determine whether there isan abnormality in the virtual manufacture of the product by the virtualmanufacturing apparatus. When the abnormality determination unitdetermines there to be no abnormality from the virtual manufacture ofthe product, the physical manufacturing apparatus physicallymanufactures the product.

Moreover, in order to achieve the above-described object, a malwaredetection system according to one aspect of the present disclosure isone that detects malware that causes a malfunction in the physicalmanufacturing apparatus that physically manufactures the product, andincludes: the product manufacturing system; and a malware determinationapparatus configured to determine potential malware to be malware when,in a state in which at least one of the virtual manufacturing apparatusand the manufacture control apparatus is infected with the potentialmalware, an abnormality is detected from the virtual manufacture of theproduct by the virtual manufacturing apparatus based on themanufacturing data.

Moreover, in order to achieve the above described object, a productmanufacturing method for manufacturing a product includes: virtuallymanufacturing the product by simulation, based on manufacturing data onthe product; determining whether there is an abnormality in the virtualmanufacturing of the product; and physically manufacturing the productbased on the manufacturing data when the determining determines there tobe no abnormality from the virtual manufacturing of the product.

Moreover, in order to achieve the above-described object, a malwaredetection method for detecting malware that causes a malfunction in aphysical manufacturing apparatus that physically manufactures a product,includes: virtually manufacturing the product by simulation via thevirtual manufacturing apparatus, based on manufacturing data on theproduct; and determining potential malware to be malware when anabnormality is detected from the virtual manufacturing of the product ina state in which at least one of the virtual manufacturing apparatus anda manufacture control apparatus that transmits the manufacturing data tothe virtual manufacturing apparatus is infected with the potentialmalware.

Advantageous Effect of Invention

According to the present disclosure, it is possible to detect anabnormality in manufacturing data without having to significantly modifyan existing manufacturing system.

BRIEF DESCRIPTION OF DRAWINGS

FIG. 1 schematically illustrates an industrial system including aproduct manufacturing system according to Embodiment 1.

FIG. 2 is a block diagram of the product manufacturing system accordingto Embodiment 1.

FIG. 3 is a flow chart for a manufacture control apparatus in theproduct manufacturing system according to Embodiment 1.

FIG. 4 is a flow chart for a virtual manufacturing apparatus in theproduct manufacturing system according to Embodiment 1.

FIG. 5 is a flow chart for a physical manufacturing apparatus in theproduct manufacturing system according to Embodiment 1.

FIG. 6 is a sequence diagram of processes performed in the productmanufacturing system according to Embodiment 1 when the manufacturingdata is normal.

FIG. 7 is a sequence diagram of processes performed in the productmanufacturing system according to Embodiment 1 when the manufacturingdata includes an abnormality.

FIG. 8 is a block diagram of a product manufacturing system according toa variation of Embodiment 1.

FIG. 9 schematically illustrates an industrial system including amalware detection system according to Embodiment 2.

FIG. 10 is a block diagram of the malware detection system and aphysical manufacturing apparatus according to Embodiment 2.

FIG. 11 is a flow chart for a manufacture control apparatus in themalware detection system according to Embodiment 2.

FIG. 12 is a flow chart for a virtual manufacturing apparatus in themalware detection system according to Embodiment 2.

FIG. 13 is a flow chart for a malware determination apparatus in themalware detection system according to Embodiment 2.

FIG. 14 is a sequence diagram of processes performed in the malwaredetection system according to Embodiment 2 when the potential malware isnot malware.

FIG. 15 is a sequence diagram of processes performed in the malwaredetection system according to Embodiment 2 when the potential malware ismalware.

FIG. 16 is a block diagram of a malware detection system according to avariation of Embodiment 2.

FIG. 17 is a block diagram of a product manufacturing system accordingto a variation.

FIG. 18 is a block diagram of a malware detection system according to avariation.

DESCRIPTION OF EXEMPLARY EMBODIMENTS

The following describes embodiments with reference to the drawings. Theembodiments described below each show a preferred, specific example ofthe present disclosure. The numerical values, shapes, materials,elements, the arrangement and connection of the elements, etc.,indicated in the following embodiments are mere examples, and thereforedo not intend to limit the present disclosure. Therefore, among elementsin the following embodiments, those not recited in any of the broadest,independent claims are described as optional elements.

Moreover, “approximately” means, for example in the case of“approximately the same,” not only exactly the same, but what would berecognized as essentially the same as well.

Note that the respective figures are schematic diagrams and are notnecessarily precise illustrations. Additionally, components that areessentially the same share like reference signs in the figures.Accordingly, overlapping explanations thereof are omitted or simplified.

Hereinafter, the product manufacturing system, malware detection system,product manufacturing method, and malware detection method according toembodiments of the present disclosure will be described.

Embodiment 1

Configuration

First, the configuration of product manufacturing system 10 according tothis embodiment will be described with reference to FIG. 1 and FIG. 2.

FIG. 1 schematically illustrates industrial system 1 including productmanufacturing system 10 according to Embodiment 1. FIG. 2 is a blockdiagram of product manufacturing system 10 according to Embodiment 1.Hereinafter, product manufacturing system 10 is also referred to simplyas “manufacturing system 10”.

As illustrated in FIG. 1, industrial system 1 is connected to externalnetwork 2, and includes firewalls 3, a plurality of terminal devices 4,and control system 5. Industrial system 1 is, for example, an industrialsystem relating to the manufacture of electronic components or the like.In this embodiment, factory A and factory B each include firewall 3 anda plurality of terminal devices 4.

Firewall 3 is provided between external network 2 and terminal devices4, and prevents unauthorized access and the infiltration of viruses(malware) from external network 2. Note that a gateway server may beprovided between external network 2 and terminal devices 4 that receivesa certificate from an external terminal device 4, and afterauthentication, transmits, for example, a network application or anencryption scheme table to the external terminal device 4. Here, malwareis a generic term for software or code that executes an unauthorized andharmful operation, and includes both intentionally and unintentionallymalicious software and code.

Terminal device 4 is, for example, a server provided in a factory oroffice, and communicates with and collects data from control system 5over a network. This data may include control data and an operationresult parameter, for example.

Control system 5 includes functions appropriate for its application inindustrial system 1, and, for example, monitors a production line,controls processes on a production line, and transmits information, suchas manufacturing data, to terminal device 4. Control system 5 includesmanufacturing system 10 that manufactures a virtual product based onmanufacturing data, and if the manufacturing data is normal,manufactures a physical product based on the manufacturing data.Manufacturing data is data based on which a product is manufactured.Examples of manufacturing data include data related to the arrangementof components, data related to the positions of components on asubstrate, data related to image recognition, and trajectory data forparts of a machine when operating. In other words, manufacturing data isa broad term that refers to any data used in manufacturing.

Manufacturing system 10 includes at least one manufacture controlapparatus 20, at least one virtual manufacturing apparatus 30, and atleast one manufacturing apparatus 40. Manufacture control apparatus 20,virtual manufacturing apparatus 30, and physical manufacturing apparatus40 are communicably connected to one another over a network.

Manufacture Control Apparatus

Manufacture control apparatus 20 is, for example, a manufacturing linecontroller that controls a manufacturing line, and stores manufacturingdata. Manufacture control apparatus 20 can communicate with virtualmanufacturing apparatus 30 and physical manufacturing apparatus 40, andtransmits newly input product manufacturing data to virtualmanufacturing apparatus 30 and physical manufacturing apparatus 40. Forexample, manufacture control apparatus 20 transmits control informationfor the starting and stopping of manufacturing to virtual manufacturingapparatus 30 and physical manufacturing apparatus 40, and receives, forexample, operation result parameters in virtual manufacturing apparatus30 and physical manufacturing apparatus 40, from virtual manufacturingapparatus 30 and physical manufacturing apparatus 40. An operationresult parameter is information on a manufacturing process. For example,when virtual manufacturing apparatus 30 is a virtual component mountingapparatus, an operation result parameter is at least one of: coordinatesat which the component mounting apparatus is to mount a component on asubstrate; an orientation in which the component mounting apparatus isto mount the component on the substrate: a type of the component to bemounted by the component mounting apparatus and a type of the substrate;a rotational speed of the component mounting apparatus; a velocity ofthe component mounting apparatus; a voltage of the component mountingapparatus; a current of the component mounting apparatus; and atemperature of the component mounting apparatus. Moreover, an operationresult parameter is not limited to such information on a manufacturingprocess. For example, operation result parameters include informationrelated to a product virtually manufactured by virtual manufacturingapparatus 30, such as information indicating the size, shape, design,and/or weight of the product, and/or the arrangement of componentsincluded in the product. The same applies to operation result parametersin physical manufacturing apparatus 40. Note that manufacture controlapparatus 20 may transmit, for example, operation result parametersreceived from virtual manufacturing apparatus 30 and physicalmanufacturing apparatus 40 to terminal devices 4 in factory A as well.

Manufacture control apparatus 20 includes control unit 21, storage 24,communication unit 25, and input/output unit 26.

Control unit 21 manages, for example, storage 24, communication unit 25,and input/output unit 26. Control unit 21 transmits, for example,control information indicating, e.g., the starting and stopping ofmanufacturing, and manufacturing data to virtual manufacturing apparatus30 and physical manufacturing apparatus 40 via communication unit 25.Control unit 21 stores, for example, manufacturing data and operationresult parameters received from virtual manufacturing apparatus 30 andphysical manufacturing apparatus 40 in storage 24. Control unit 21implements these operations by way of a processor or a microcomputer ordedicated hardware.

In addition to transmitting control information for the starting andstopping of manufacturing to virtual manufacturing apparatus 30 andphysical manufacturing apparatus 40 via communication unit 25, controlunit 21 also successively transmits control signals for controllingoperations, such as mounting components on a substrate, to virtualmanufacturing apparatus 30 and physical manufacturing apparatus 40 viacommunication unit 25. Virtual manufacturing apparatus 30 successivelytransmits information on, for example, the locations of components to bemounted, to manufacture control apparatus 20.

Storage 24 is a storage device that stores, for example, normalmanufacturing data, newly input product manufacturing data, andoperation result parameters. Normal manufacturing data is data based onwhich a desired product can be manufactured via predetermined operationswhen input into physical manufacturing apparatus 40, and is data thatdoes not cause physical manufacturing apparatus 40 to manufacturedefective goods, cause manufacturing equipment to halt, or cause damageto equipment. Normal manufacturing data includes data equivalent tooperation result parameters. Normal manufacturing data may be stored inadvance in storage 24. Storage 24 is implemented as, for example,semiconductor memory.

Communication unit 25 is a communication interface capable ofcommunicating with virtual manufacturing apparatus 30 and physicalmanufacturing apparatus 40. In this embodiment, for example,communication unit 25 is capable of receiving, for example, operationresult parameters from, for example, virtual manufacturing apparatus 30.

Input/output unit 26 is a device capable of inputting/outputtingmanufacturing data. Input/output unit 26 may input/output data from, forexample, a computer-readable recording medium. Examples of recordingmediums include flexible disks, hard disks, CD-ROMs, MOs, DVDs,DVD-ROMs, DVD-RAMs, BDs (Blu-ray™ Discs), and semiconductor memory.Moreover, input/output unit 26 may be connected to another interfaceover a network.

VIRTUAL MANUFACTURING APPARATUS

Virtual manufacturing apparatus 30 virtually manufactures a product bysimulation, based on manufacturing data received from manufacturecontrol apparatus 20. Here, virtual manufacturing apparatus 30 receivescontrol information for the starting and stopping of manufacturing frommanufacture control apparatus 20, and transmits, for example, operationresult parameters for virtual manufacturing apparatus 30 to manufacturecontrol apparatus 20. For example, virtual manufacturing apparatus 30operates on a personal computer, and is implemented as a simulator thatsimulates, for example, a component mounting apparatus, reflowapparatus, inspector, printer, or any combination thereof. Note thatsince manufacturing is only performed virtually in virtual manufacturingapparatus 30, even if an abnormal operation is performed during thevirtual manufacture, this does not halt manufacturing equipment,manufacture defective goods, or damage equipment.

The simulator implemented as virtual manufacturing apparatus 30 mayoperate on virtual software (VMWare™, VirtualBox™). By implementingvirtual manufacturing apparatus 30 as a simulator on virtual software,even if a simulator were to operate abnormally, virtual manufacturingapparatus 30 would not harm the personal computer running the virtualsoftware.

Virtual manufacturing apparatus 30 includes virtual-side control unit31, virtual manufacturing unit 32, abnormality determination unit 33,storage 34, and communication unit 35.

Virtual-side control unit 31 manages, for example, virtual manufacturingunit 32, abnormality determination unit 33, storage 34, andcommunication unit 35. Virtual-side control unit 31 causes virtualmanufacturing unit 32 to manufacture a product based on manufacturingdata. Virtual-side control unit 31 transmits, to manufacture controlapparatus 20 via communication unit 35, for example, operation resultparameters generated by virtual manufacturing unit 32, and informationrelated to the determination result of abnormality determination unit33. Virtual-side control unit 31 stores, for example, manufacturing datareceived from manufacture control apparatus 20 and operation resultparameters generated by virtual manufacturing unit 32 in storage 34.

Virtual manufacturing unit 32 is a simulator that virtually manufacturesa product based on manufacturing data, and is, for example, a virtualcomponent mounting apparatus that manufactures a product. Virtualmanufacturing unit 32 generates operation result parameters related tothe virtual manufacture of a product based on manufacturing data. Morespecifically, for example, when physical manufacturing apparatus 40 isconfigured as a component mounting line, virtual manufacturing unit 32generates operation result parameters for the simulated componentmounting apparatus. Even more specifically, based on manufacturing data,virtual manufacturing unit 32 simulates a sequence of operations,namely, the obtaining of a specific component from a specific locationby the component mounting apparatus and the arranging or inserting ofspecific components in a specific location and a specific orientation ona substrate.

Here, manufacturing data includes data related to component arrangement,data related to substrate component positions, and data related to imagerecognition.

Data related to component arrangement includes information on where toarrange what components on the component mounting apparatus. Datarelated to substrate component positions includes information on whereto mount what components on the substrate. Data related to imagerecognition includes information on, for example, component dimensionsand the number of or pitch between leads.

Here, for example, if there is an abnormality in the data related tocomponent arrangement in the manufacturing data, a problem occurs inwhich a specific component cannot be obtained from a specific place onthe component mounting apparatus. Moreover, for example, if there is anabnormality in the data related to substrate component positions in themanufacturing data, a problem occurs in which a specific componentcannot be arranged or inserted in a specific position and specificorientation on the substrate. In this way, when there is an abnormalityin the manufacturing data, the operation result parameters of thesimulated component mounting apparatus indicate abnormal values. Stateddifferently, an abnormality in the manufacturing data manifests as oneor more abnormal parameter values different from what is output byvirtual-side control unit 31. Examples of the parameters include, in thecomponent mounting apparatus, coordinates at which components are to bemounted on the substrate, orientation of components to be mounted on thesubstrate by the component mounting apparatus, the type of the componentto be mounted by the component mounting apparatus and the type of thesubstrate, the rotational speed of, for example, a driving unit thatdrives a head that mounts the components to the substrate, headvelocity, component mounting apparatus voltage, component mountingapparatus current, and temperature during reflow. In one example, whenthe range of movement of an arm including a head greatly exceeds thelimit allowed by the component mounting apparatus, or exceedsconfiguration information defining the capacity of the componentmounting apparatus, the parameters of the component mounting apparatuscan be said to be abnormal.

Moreover, in virtually manufactured products, there are abnormalitieswhere, for example, components are arranged, inserted, or placed inorientations different from that of a normally produced product.

If, in the manufacturing data, for example, data related to thearrangement of components, data related to substrate component location,and data related to image recognition is normal data, the productvirtually manufactured by virtual manufacturing unit 32 (the operationresult parameter generated by virtual manufacturing unit 32) isapproximately the same result as a product manufactured by physicalmanufacturing apparatus 40.

Virtual manufacturing unit 32 generates, for example, operation resultparameters, and transmits, for example, operation result parameters toabnormality determination unit 33.

Moreover, when virtually manufacturing a product based on manufacturingdata, virtual manufacturing unit 32 may successively transmit, tomanufacture control apparatus 20, information related to manufacturingprocesses, which forms part of the operation result parameters.

Abnormality determination unit 33 is a device that determines whetherthe operation result parameters received from virtual manufacturing unit32 are abnormal or normal. Stated differently, abnormality determinationunit 33 is a device that determines whether or not there is anabnormality in the virtual manufacture of a product from operationresult parameters, based on communication information betweenvirtual-side control unit 31 and virtual manufacturing unit 32.Specifically, abnormality determination unit 33 compares operationresult parameters and normal manufacturing data stored in storage 34,and determines whether there is an abnormality or not. In one example,abnormality determination unit 33 determines that there is anabnormality in the manufacturing when there is an abnormal parametervalue among one of parameters pertaining to, in the component mountingapparatus, coordinates at which components are to be mounted on thesubstrate, component material, orientation of components to be mountedon the substrate by the component mounting apparatus, the type of thecomponent to be mounted by the component mounting apparatus and the typeof the substrate, the rotational speed of, for example, a driving unitthat drives a head that mounts the components to the substrate, headvelocity, component mounting apparatus voltage, component mountingapparatus current, and temperature during reflow. Abnormalitydetermination unit 33 then generates abnormality information(information related to the determination result) indicating adetermination result of “abnormal”. In other words, abnormalitydetermination unit 33 associates abnormality information with anoperation result parameter generated based on manufacturing data.

On the other hand, when the operation result parameters and the normalmanufacturing data stored in storage 34 are approximately the same,abnormality determination unit 33 generates normality information(information related to the determination result) indicating adetermination result of “normal”. Abnormality determination unit 33associates normality information with an operation result parametergenerated based on manufacturing data.

Abnormality determination unit 33 transmits such information related tothe determination results to virtual-side control unit 31. Note thatnormal manufacturing data is data including parameters that fall withina margin of error with respect to the component mounting apparatusdescribed above. If the parameters are within this margin of error,abnormality determination unit 33 determines that the operation resultparameters are approximately the same as normal manufacturing data.Abnormality determination unit 33 associates the generated abnormalityinformation and normality information with the corresponding operationresult parameters and stores the resulting information in storage 34.Note that abnormality determination unit 33 may be provided inmanufacture control apparatus 20.

Storage 34 is a storage device that stores, for example, normalmanufacturing data, operation result parameters, and information relatedto the determination results. Storage 34 is implemented as, for example,semiconductor memory.

Communication unit 35 is a communication interface capable ofcommunicating with manufacture control apparatus 20 and physicalmanufacturing apparatus 40. In this embodiment, for example,communication unit 35 is capable of transmitting information related tothe determination results determined by abnormality determination unit33, and is capable of receiving data such as manufacturing data.

Physical Manufacturing Apparatus

Physical manufacturing apparatus 40 is an apparatus that physicallymanufactures a product based on manufacturing data received frommanufacture control apparatus 20, and is, for example, manufacturingline equipment used in a factory. Here, physical manufacturing apparatus40 receives control information for the starting and stopping ofmanufacturing from manufacture control apparatus 20, and transmits, forexample, operation result parameters to manufacture control apparatus20.

Physical manufacturing apparatus 40 includes manufacture control unit41, manufacturing unit 42, storage 44, and communication unit 45.

Manufacture control unit 41 manages manufacturing unit 42, storage 44,and communication unit 45. Manufacture control unit 41 receivesmanufacturing data from manufacture control apparatus 20 and stores thereceived manufacturing data in storage 44. Manufacture control unit 41receives control information for the starting and stopping ofmanufacturing from manufacture control apparatus 20, and is configuredto cause manufacturing unit 42 to manufacture a product and stopmanufacture of a product based on the manufacturing data. Manufacturecontrol unit 41 transmits actual operation result parameters tomanufacture control apparatus 20 via communication unit 45.

Manufacturing unit 42 is industrial equipment that physicallymanufactures a product based on manufacturing data. More specifically,for example, when manufacturing unit 42 is configured as a componentmounting line, manufacturing unit 42 implements the operations of acomponent mounting apparatus. In the case of component mounting, basedon manufacturing data, manufacturing unit 42 performs operations ofobtaining a specific component from a specific location on the componentmounting apparatus and arranging or inserting specific components in aspecific location and a specific orientation on a substrate.

Moreover, when physically manufacturing a product based on manufacturingdata, manufacturing unit 42 may successively transmit, to manufacturecontrol apparatus 20, information related to manufacturing processes,which forms part of the operation result parameters. In such cases,control unit 21 in manufacture control apparatus 20 may determinewhether the information related to manufacturing processes is normalmanufacturing data or not. If the information related to manufacturingprocesses includes an abnormality, manufacture control apparatus 20 maygive notice of the abnormality in the manufacturing data. Accordingly,abnormality determination unit 33 that determines the informationrelated to the manufacturing processes may be provided in manufacturecontrol apparatus 20. Note that if there is an abnormality in themanufacturing data, manufacturing data may be newly generated.

Storage 44 is a storage device that stores, for example, manufacturingdata and operation result parameters. Storage 44 is implemented as, forexample, semiconductor memory.

Communication unit 45 is a communication interface capable ofcommunicating with manufacture control apparatus 20 and virtualmanufacturing apparatus 30. In this embodiment, for example,communication unit 45 is capable of transmitting operation resultparameters, and is capable of receiving data such as manufacturing data.

Manufacturing System Operations

Next, operations performed by product manufacturing system 10 will bedescribed with reference to FIG. 3 through FIG. 5.

FIG. 3 is a flow chart for manufacture control apparatus 20 in theproduct manufacturing system according to Embodiment 1. FIG. 4 is a flowchart for virtual manufacturing apparatus 30 in the productmanufacturing system according to Embodiment 1. FIG. 5 is a flow chartfor physical manufacturing apparatus 40 in the product manufacturingsystem according to Embodiment 1.

As illustrated in FIG. 3, first, in manufacturing system 10,manufacturing data is input into input/output unit 26 in manufacturecontrol apparatus 20 (step S1). The manufacturing data input intomanufacture control apparatus 20 is stored in storage 24 in manufacturecontrol apparatus 20.

Next, control unit 21 in manufacture control apparatus 20 transmits themanufacturing data to virtual manufacturing apparatus 30 viacommunication unit 25 in manufacture control apparatus 20 (step S2).

Next, as illustrated in FIG. 4, virtual manufacturing apparatus 30receives the manufacturing data from manufacture control apparatus 20via communication unit 35 in virtual manufacturing apparatus 30 (stepS11). Virtual-side control unit 31 stores the received manufacturingdata in storage 34.

Next, virtual-side control unit 31 causes virtual manufacturing unit 32to virtually manufacture a product by simulation based on themanufacturing data. In other words, virtual-side control unit 31 causesvirtual manufacturing unit 32 to generate operation result parameters(one example of the virtual manufacture step (step S12)). In otherwords, in the virtual manufacture step, virtual manufacture of a productis performed via simulation based on product manufacturing data.Virtual-side control unit 31 stores the generated operation resultparameters in storage 34.

Next, virtual manufacturing unit 32 transmits the operation resultparameters to abnormality determination unit 33 in virtual manufacturingapparatus 30. Then, abnormality determination unit 33 determines whetherthe operation result parameters include an abnormality or not (oneexample of the abnormality determination step (step S13)). In otherwords, in the abnormality determination step, it is determined whetherthere is an abnormality in the virtual manufacture of the productperformed in the virtual manufacture step. When the operation resultparameters are determined to include an abnormality (yes in step S13),abnormality determination unit 33 generates information (i.e.,abnormality information) related to the determination result associatedwith the operation result parameters. Virtual manufacturing unit 32transmits the abnormality information indicating that the operationresult parameters include an abnormality to manufacture controlapparatus 20 via communication unit 35 (step S14). The flow of theseprocesses in virtual manufacturing apparatus 30 ends, and processingproceeds to step S3 in FIG. 3.

On the other hand, when abnormality determination unit 33 determines theoperation result parameters to be normal (no in step S13), information(i.e., normality information) related to the determination resultassociated with the operation result parameters is generated. Virtualmanufacturing unit 32 transmits the normality information indicatingthat the operation result parameters are normal to manufacture controlapparatus 20 via communication unit 35 (step S15). The flow of theseprocesses in virtual manufacturing apparatus 30 ends, and processingproceeds to step S3 in FIG. 3. Note that in steps S14 and S15, theoperation result parameters generated by virtual manufacturing unit 32may be transmitted to manufacture control apparatus 20. Moreover,manufacture control apparatus 20 may store the received operation resultparameters in storage 24.

Next, as illustrated in FIG. 3, control unit 21 in manufacture controlapparatus 20 determines whether the information received from virtualmanufacturing apparatus 30 is abnormality information or normalityinformation (step S3). If the information received from virtualmanufacturing apparatus 30 is the normality information (yes in stepS3), control unit 21 in manufacture control apparatus 20 transmits themanufacturing data to physical manufacturing apparatus 40 viacommunication unit 25 in manufacture control apparatus 20 (step S4).

On the other hand, if the information received from virtualmanufacturing apparatus 30 is the abnormality information (no in stepS3), control unit 21 in manufacture control apparatus 20 gives noticethat the manufacturing data is abnormal information (step S5). The flowof these processes in manufacture control apparatus 20 ends, andprocessing proceeds to the flow of processes for physical manufacturingapparatus 40 in FIG. 5.

Next, as illustrated in FIG. 5, physical manufacturing apparatus 40receives the manufacturing data from manufacture control apparatus 20transmitted in step S4 in FIG. 3 (step S21). Then, manufacture controlunit 41 in physical manufacturing apparatus 40 stores the manufacturingdata in storage 44.

Next, manufacture control unit 41 instructs manufacturing unit 42 withan instruction to manufacture a physical product based on themanufacturing data (one example of the physical manufacture step (stepS22)). In other words, when no abnormality is determined from thevirtual manufacture of the product in the abnormality determinationstep, the physical manufacture step physically manufactures a productbased on the manufacturing data.

Next, manufacturing unit 42 manufactures the product based on themanufacturing data and generates operation result parameters based onthe manufacturing data. Manufacture control unit 41 stores the operationresult parameters generated by manufacturing unit 42 in storage 44.Manufacture control unit 41 transmits the operation result parameters tomanufacture control apparatus 20 via communication unit 45 (step S23).The flow of these processes in physical manufacturing apparatus 40 ends,and processing proceeds to step S3 in FIG. 3.

Next, manufacture control apparatus 20 receives the operation resultparameters from physical manufacturing apparatus 40 (step S6), andstores the operation result parameters in storage 24 in manufacturecontrol apparatus 20. Then, the sequence of processes in manufacturingsystem 10 ends. Note that the flow charts illustrated in FIG. 3 throughFIG. 5 are not implemented only once; after the first flow of processesis implemented, a new flow of processes can be performed.

In this way, before physically manufacturing a product, virtualmanufacturing apparatus 30 virtually manufactures the product viasimulation. If there is an abnormality in the operation resultparameters in virtual manufacturing apparatus 30, manufacturing byphysical manufacturing apparatus 40 is not performed, and if theoperation result parameters in virtual manufacturing apparatus 30 arenormal, manufacturing by physical manufacturing apparatus 40 isperformed. Note that if the operation result parameters in virtualmanufacturing apparatus 30 include an abnormality, abnormalityinformation is notified externally. For example, an alarm may be ringed,and the location of the problem based on the manufacturing processes andmanufacturing result may be displayed on a display screen. If theoperation result parameters in virtual manufacturing apparatus 30 arenormal, a desired product can be produced since physical manufacturingapparatus 40 manufactures the product based on the manufacturing data.

Next, an example of operations performed by manufacturing system 10 whenthe manufacturing data is normal will be described with reference toFIG. 6.

FIG. 6 is a sequence diagram of processes performed in productmanufacturing system 10 according to Embodiment 1 when the manufacturingdata is normal.

First, as illustrated in FIG. 6, manufacturing data is input intomanufacture control apparatus 20 from input/output unit 26 (step S101).The manufacturing data input into manufacture control apparatus 20 isstored in storage 24 in manufacture control apparatus 20.

Next, control unit 21 in manufacture control apparatus 20 transmits themanufacturing data to virtual manufacturing apparatus 30 viacommunication unit 25 in manufacture control apparatus 20 (step S102).

Next, virtual manufacturing apparatus 30 receives the manufacturing datafrom manufacture control apparatus 20 (step S111). Virtual-side controlunit 31 in manufacture control apparatus 20 stores the receivedmanufacturing data in storage 34.

Next, virtual-side control unit 31 causes virtual manufacturing unit 32to virtually manufacture a product based on the manufacturing data. Inother words, virtual-side control unit 31 causes virtual manufacturingunit 32 to generate operation result parameters (step S112).

Next, virtual manufacturing unit 32 transmits the operation resultparameters to abnormality determination unit 33 in virtual manufacturingapparatus 30. Abnormality determination unit 33 determines whether theoperation result parameters include an abnormality or not. Since FIG. 6illustrates an example in which the manufacturing data is normal,abnormality determination unit 33 determines the operation resultparameters to be normal (step S113), and generates information (i.e.,normality information) related to the determination result correspondingto the operation result parameters generated based on the manufacturingdata. Virtual-side control unit 31 transmits the normality informationto manufacture control apparatus 20 via communication unit 35 (stepS114). Note that in steps S14 and S22, the operation result parametersgenerated by virtual manufacturing unit 32 may be transmitted tomanufacture control apparatus 20. Moreover, manufacture controlapparatus 20 may store the received operation result parameters instorage 24.

Next, control unit 21 in manufacture control apparatus 20 receives thenormality information from virtual manufacturing apparatus 30 viacommunication unit 25 (step S103). Control unit 21 associates themanufacturing data simulated by virtual manufacturing apparatus 30 withthe normality information and stores the information in storage 24.

Next, control unit 21 in manufacture control apparatus 20 transmits themanufacturing data determined to be normal information to physicalmanufacturing apparatus 40 via communication unit 25 in manufacturecontrol apparatus 20 (step S104).

Next, physical manufacturing apparatus 40 receives the manufacturingdata from manufacture control apparatus 20 (step S121). Then,manufacture control unit 41 in physical manufacturing apparatus 40stores the manufacturing data in storage 44.

Next, manufacture control unit 41 causes manufacturing unit 42 tophysically manufacture the product based on the manufacturing data (stepS122). Note that virtual manufacturing apparatus 30 transmitsinformation related to manufacturing processes to manufacture controlapparatus 20, and receives control information from manufacture controlapparatus 20.

Next, manufacturing unit 42 generates operation result parameters for aproduct physically manufactured, and transmits the operation resultparameters to manufacture control apparatus 20 (step S123). Control unit21 in manufacture control apparatus 20 receives the operation resultparameters via communication unit 25, and stores the operation resultparameters in storage 24 in manufacture control apparatus 20. In thisway, in manufacturing system 10, it is possible to manufacture a desiredproduct since the product can be manufactured based on normalmanufacturing data.

Next, an example of operations performed by manufacturing system 10 whenthe manufacturing data includes an abnormality will be described withreference to FIG. 7.

FIG. 7 is a sequence diagram of processes performed in productmanufacturing system 10 according to Embodiment 1 when the manufacturingdata includes an abnormality.

As illustrated in FIG. 7, in manufacturing system 10, the same processesas in steps S101, S102, S111, and S112 in FIG. 6 are performed. SinceFIG. 7 illustrates an example in which the manufacturing data includesan abnormality, abnormality determination unit 33 determines theoperation result parameters to include an abnormality (step S213), andgenerates information (i.e., abnormality information) related to thedetermination result corresponding to the operation result parametersgenerated based on the manufacturing data. Virtual-side control unit 31transmits the abnormality information to manufacture control apparatus20 via communication unit 35 (step S214). Note that in step S214, theoperation result parameters generated by virtual manufacturing unit 32may be transmitted to manufacture control apparatus 20. Moreover,manufacture control apparatus 20 may store the received operation resultparameters in storage 24.

Next, control unit 21 in manufacture control apparatus 20 receives theabnormality information from virtual manufacturing apparatus 30 viacommunication unit 25 in manufacture control apparatus 20 (step S203).Control unit 21 in manufacture control apparatus 20 associates themanufacturing data simulated by virtual manufacturing apparatus 30 withthe abnormality information and stores the information in storage 24.

Next, control unit 21 in manufacture control apparatus 20 gives noticethat the manufacturing data is abnormal information. In such cases,manufacture control apparatus 20 does not transmit the abnormalmanufacturing data to physical manufacturing apparatus 40.

Operational Advantages

Next, operational advantages of product manufacturing system 10according to the present embodiment will be described.

As described above, in product manufacturing system 10 according to thisembodiment, a product is manufactured. Product manufacturing system 10includes: manufacture control apparatus 20 that holds manufacturing dataon the product; virtual manufacturing apparatus 30 that virtuallymanufactures the product by simulation, based on the manufacturing dataon the product held in manufacture control apparatus 20; physicalmanufacturing apparatus 40 that physically manufactures the productbased on the manufacturing data held in manufacture control apparatus20; and abnormality determination unit 33 that determines whether thereis an abnormality in the virtual manufacture of the product by virtualmanufacturing apparatus 30. When abnormality determination unit 33determines there to be no abnormality from the virtual manufacture ofthe product, physical manufacturing apparatus 40 physically manufacturesthe product.

With manufacturing system 10 configured in such a manner, there arecases in which manufacturing data is altered and includes an abnormalitywhen already in manufacture control apparatus 20, and cases in whichmanufacturing data is altered over a network so as to include anabnormality. With the above-described configuration, since virtualmanufacturing apparatus 30 virtually manufactures a product viasimulation based on manufacturing data for the product, even if there isan abnormality in the manufacturing data, it is possible to determinewhether there is an abnormality in the virtual manufacture of theproduct performed by virtual manufacturing apparatus.

Accordingly, in such a manufacturing system 10, it is possible to detectan abnormality in manufacturing data without having to significantlymodify an existing manufacturing system. In this way, with manufacturingsystem 10, it is possible to detect an abnormality in manufacturing databefore the product is physically manufactured, making it possible toprevent malfunctions in physical manufacturing apparatus 40, such as themanufacture of defective goods, the halting of manufacturing equipment,and damage of equipment based on abnormal manufacturing data.

A product manufacturing method according to this embodiment manufacturesa product. The method includes: virtually manufacturing the product bysimulation, based on manufacturing data on the product; determiningwhether there is an abnormality in the virtual manufacturing of theproduct; and physically manufacturing the product based on themanufacturing data when the determining determines there to be noabnormality from the virtual manufacturing of the product.

This manufacturing method achieves the same operational advantages asproduct manufacturing system 10.

Moreover, in product manufacturing system 10 according to thisembodiment, virtual manufacturing apparatus 30 includes: virtualmanufacturing unit 32 that virtually manufactures the product based onthe manufacturing data; and virtual-side control unit 31 that controlsoperation of virtual manufacturing unit 32 based on the manufacturingdata. Abnormality determination unit 33 is provided in virtualmanufacturing apparatus 30.

With this, after virtual manufacturing unit 32 virtually manufacturesthe product, abnormality determination unit 33 determines whether thereis an abnormality in the virtual manufacture of the product by virtualmanufacturing unit 32. Accordingly, just like with manufacturing system10, it possible to prevent malfunctions in physical manufacturingapparatus 40, such as the manufacture of defective goods, the halting ofmanufacturing equipment, and damage of equipment based on abnormalmanufacturing data.

Moreover, in product manufacturing system 10 according to thisembodiment, virtual manufacturing unit 32 generates an operation resultparameter related to the virtual manufacture of the product, andabnormality determination unit 33 determines whether there is anabnormality in the virtual manufacture of the product based on theoperation result parameter.

With this, since abnormality determination unit 33 determines whetherthere is an abnormality or not based on operation result parametersreceived from virtual manufacturing unit 32, it is easy to identify thepart of the manufacturing data, based on which virtual manufacturingunit 32 virtually manufactured the product, that is abnormal, byanalyzing the operation result parameters.

Moreover, in product manufacturing system 10 according to thisembodiment, virtual manufacturing unit 32 is a virtual componentmounting apparatus that manufactures the product, and the operationresult parameter includes at least one of: coordinates at which thecomponent mounting apparatus is to mount a component on a substrate; anorientation in which the component mounting apparatus is to mount thecomponent on the substrate: a type of the component to be mounted by thecomponent mounting apparatus and a type of the substrate; a rotationalspeed of the component mounting apparatus; a velocity of the componentmounting apparatus; a voltage of the component mounting apparatus; acurrent of the component mounting apparatus; and a temperature of thecomponent mounting apparatus.

With this, since abnormality determination unit 33 determines whetherthere is an abnormality or not based on specific operation resultparameters, it is easy to identify the part of the manufacturing data,based on which virtual manufacturing unit 32 virtually manufactured theproduct, that is abnormal, by analyzing the operation result parameters.

Moreover, in product manufacturing system 10 according to thisembodiment, abnormality determination unit 33 determines whether thereis an abnormality in the manufacture of the product based oncommunication information between virtual-side control unit 31 andvirtual manufacturing unit 32.

With this, since abnormality determination unit 33 reads control ofoperations transmitted to virtual manufacturing unit 32 by virtual-sidecontrol unit 31 from communication information between virtual-sidecontrol unit 31 and virtual manufacturing unit 32 in virtualmanufacturing apparatus 30, it is possible to determine whether there isan abnormality in the operation result parameters early on.

Variation of Embodiment 1

Next, manufacturing system 100 according to this variation will bedescribed with reference to FIG. 8.

FIG. 8 is a block diagram of product manufacturing system 100 accordingto a variation of Embodiment 1.

In Embodiment 1, manufacture control apparatus 20, virtual manufacturingapparatus 30, and physical manufacturing apparatus 40 are communicablyconnected to one another, but in this variation, manufacture controlapparatus 20, virtual manufacturing apparatus 30, and physicalmanufacturing apparatus 40 are connected in series in this order.

When other configurations are not described in this variation, it isbecause they are the same as in Embodiment 1. Moreover, like elementsshare like reference signs. Detailed description of such elements willbe omitted.

Manufacture control apparatus 20, virtual manufacturing apparatus 30,and physical manufacturing apparatus 40 are connected together in seriesin this order. Virtual manufacturing apparatus 30 is communicablyconnected to manufacture control apparatus 20, and physicalmanufacturing apparatus 40 is communicably connected to virtualmanufacturing apparatus 30. In other words, manufacture controlapparatus 20 and physical manufacturing apparatus 40 cannot directlycommunicate; manufacture control apparatus 20 and physical manufacturingapparatus 40 are communicably connected via virtual manufacturingapparatus 30.

Moreover, in product manufacturing system 100 according to thisvariation, manufacture control apparatus 20, virtual manufacturingapparatus 30, and physical manufacturing apparatus 40 are connectedtogether in series in this order.

When manufacture control apparatus 20, virtual manufacturing apparatus30, and physical manufacturing apparatus 40 are communicably connectedto one another, for example, control unit 21 in manufacture controlapparatus 20 is required to set a transmission destination. Accordingly,when control unit 21 transmits manufacturing data to virtualmanufacturing apparatus 30, there is a concern that abnormalmanufacturing data may be directly transmitted to physical manufacturingapparatus 40 as the result of some malfunction.

However, with the configuration according to this variation, manufacturecontrol apparatus 20 transmits the manufacturing data to physicalmanufacturing apparatus 40 via virtual manufacturing apparatus 30. Inother words, virtual manufacturing apparatus 30 physically segmentscommunication between manufacture control apparatus 20 and physicalmanufacturing apparatus 40. Accordingly, it is unlikely that abnormalmanufacturing data will be directly transmitted to physicalmanufacturing apparatus 40 as the result of a malfunction.

This variation also achieves the other operational advantages achievedby Embodiment 1 as well.

Embodiment 2

Configuration

First, the configuration of malware detection system 300 according tothis embodiment will be described.

FIG. 9 schematically illustrates industrial system 1 including malwaredetection system 300 according to Embodiment 2. FIG. 10 is a blockdiagram of malware detection system 300 according to Embodiment 2.

Embodiment 2 differs from Embodiment 1 in that malware detection system300 is equivalent to a configuration in which manufacturing system 100according to Embodiment 1 further includes malware determinationapparatus 50.

When other configurations are not described in this embodiment, it isbecause they are the same as in Embodiment 1. Moreover, like elementsshare like reference signs. Detailed description of such elements willbe omitted.

As illustrated in FIG. 9 and FIG. 10, control system 5 includesfunctions appropriate for its application in industrial system 1, and,for example, monitors a production line, controls processes on aproduction line, and transmits information, such as manufacturing data,to terminal device 4. Control system 5 includes malware detection system300 that manufactures a virtual product based on manufacturing data, andif there is no problem with the manufacturing data, manufactures aphysical product based on the manufacturing data.

Malware detection system 300 detects malware that causes a malfunctionin physical manufacturing apparatus 40 that physically manufactures aproduct. Malware detection system 300 includes manufacture controlapparatus 20, virtual manufacturing apparatus 30, physical manufacturingapparatus 40, and malware determination apparatus 50. Manufacturecontrol apparatus 20, virtual manufacturing apparatus 30, and malwaredetermination apparatus 50 are communicably connected to one anotherover a network. Manufacture control apparatus 20, virtual manufacturingapparatus 30, and physical manufacturing apparatus 40 correspond to amanufacturing system.

Manufacture Control Apparatus

Manufacture control apparatus 20 can communicate with virtualmanufacturing apparatus 30 and malware determination apparatus 50, andtransmits newly input product manufacturing data to virtualmanufacturing apparatus 30 and physical manufacturing apparatus 40.

Storage 24 is a storage device that stores, for example, normalmanufacturing data, newly input product manufacturing data, operationresult parameters, and information related to potential malware results.

Communication unit 25 is a communication interface capable ofcommunicating with virtual manufacturing apparatus 30, physicalmanufacturing apparatus 40, and malware determination apparatus 50.

Virtual Manufacturing Apparatus

In one example, abnormality determination unit 33 determines that thereis an abnormality in the manufacturing when there is an abnormalparameter value among one of parameters pertaining to, in the componentmounting apparatus, coordinates at which components are to be mounted onthe substrate, component material, orientation of components to bemounted on the substrate by the component mounting apparatus, the typeof the component to be mounted by the component mounting apparatus andthe type of the substrate, the rotational speed of, for example, adriving unit that drives a head that mounts the components to thesubstrate, head velocity, component mounting apparatus voltage,component mounting apparatus current, and temperature during reflow.Abnormality determination unit 33 then generates abnormality information(information related to the determination result) indicating adetermination result of “abnormal”.

Communication unit 35 is a communication interface capable ofcommunicating with manufacture control apparatus 20, physicalmanufacturing apparatus 40, and malware determination apparatus 50.

Physical Manufacturing Apparatus

Physical manufacturing apparatus 40 is industrial equipment thatphysically manufactures a product based on manufacturing data receivedfrom manufacture control apparatus 20, and is, for example,manufacturing line equipment used in a factory. More specifically, forexample, when the physical manufacturing apparatus is configured as acomponent mounting line, the physical manufacturing apparatus implementsoperations of a component mounting apparatus. In the case of componentmounting, based on manufacturing data, the physical manufacturingapparatus performs operations of obtaining a specific component from aspecific location on the component mounting apparatus and arranging orinserting specific components in a specific location and a specificorientation on a substrate. Physical manufacturing apparatus 40 receivescontrol information for the starting and stopping of manufacturing frommanufacture control apparatus 20, and transmits, for example, operationresult parameters to manufacture control apparatus 20.

Physical manufacturing apparatus 40 receives manufacturing data frommanufacture control apparatus 20 and stores the received manufacturingdata in storage in physical manufacturing apparatus 40. Physicalmanufacturing apparatus 40 receives control information for the startingand stopping of manufacturing from manufacture control apparatus 20, andis configured to cause the manufacturing unit to manufacture a productand stop manufacture of a product based on the manufacturing data.Physical manufacturing apparatus 40 may transmit actual operation resultparameters to manufacture control apparatus 20.

Malware Determination Apparatus

When, in a state in which at least one of manufacture control apparatus20 and virtual manufacturing apparatus 30 is infected with potentialmalware, malware determination apparatus 50 detects an abnormality fromthe virtual manufacture of a product implemented by virtualmanufacturing apparatus 30 based on manufacturing data, malwaredetermination apparatus 50 determines that the potential malware ismalware. Moreover, malware determination apparatus 50 may determinewhether the potential malware is malware or not based on, for example,operation result parameters and/or operational status.

In malware detection system 300, regarding the determination of whethermanufacturing data is malware or not, for example, before malwaredetermination apparatus 50 infects manufacture control apparatus 20 andvirtual manufacturing apparatus 30 with potential malware, virtualmanufacturing apparatus 30 and physical manufacturing apparatus 40manufacture the product based on normal manufacturing data. Morespecifically, malware determination apparatus 50 compares (i) operationresult parameters generated by virtual manufacturing apparatus 30 basedon normal manufacturing data and (ii) operation result parametersgenerated by virtual manufacturing apparatus 30 after virtualmanufacturing apparatus 30 is infected with potential malware, anddetermines whether the manufacturing data is malware or not.

In manufacture control apparatus 20 as well, malware determinationapparatus 50 determines whether an abnormality has been detected fromoperation information on control unit 21, storage 24, communication unit25, and input/output unit 26 included in manufacture control apparatus20. Moreover, malware determination apparatus 50, for example,determines whether manufacture control apparatus 20 can normally supportvirtual manufacturing apparatus 30 and physical manufacturing apparatus40. When manufacture control apparatus 20 causes physical manufacturingapparatus 40 to manufacture the product, malware determination apparatuscompares (i) operation result parameters generated by physicalmanufacturing apparatus 40 based on normal manufacturing data and (ii)operation result parameters generated by physical manufacturingapparatus 40 after manufacture control apparatus 20 is infected withpotential malware, upon instruction from the infected manufacturecontrol apparatus 20, and determines whether the manufacturing data ismalware or not.

Malware Detection System Operations

Next, operations performed by malware detection system 300 (i.e., themalware detection method) will be described with reference to FIG. 11through FIG. 13. The malware detection method detects malware thatcauses a malfunction in physical manufacturing apparatus 40 thatphysically manufactures the product.

FIG. 11 is a flow chart for manufacture control apparatus 20 in malwaredetection system 300 according to Embodiment 2. FIG. 12 is a flow chartfor virtual manufacturing apparatus 30 in malware detection system 300according to Embodiment 2. FIG. 13 is a flow chart for malwaredetermination apparatus 20 in malware detection system 300 according toEmbodiment 2.

First, as illustrated in FIG. 11, in malware detection system 300, in anormal state in which manufacture control apparatus 20 and virtualmanufacturing apparatus 30 are not infected with malware, manufacturecontrol apparatus 20 transmits manufacturing data to virtualmanufacturing apparatus 30 (step S301). The manufacturing data inputinto manufacture control apparatus 20 is stored in storage 24 inmanufacture control apparatus 20. Note that in step S301, it is assumedthat whether the manufacturing data includes an abnormality or not isunknown.

Next, as illustrated in FIG. 12, virtual manufacturing apparatus 30,which is in a normal state, receives the manufacturing data frommanufacture control apparatus 20 in the normal state via communicationunit 35 in virtual manufacturing apparatus 30 (step S311).

Next, virtual manufacturing apparatus 30 causes virtual manufacturingunit 32 to virtually manufacture a product based on the manufacturingdata. In other words, virtual-side control unit 31 causes virtualmanufacturing unit 32 to generate operation result parameters (stepS312). Step S312 is performed in order to determine whether themanufacturing data is normal or not before execution of the potentialmalware in step S316 (to be described later). Virtual-side control unit31 stores the generated operation result parameters in storage 34.

Next, virtual manufacturing unit 32 transmits the operation resultparameters to abnormality determination unit 33 in virtual manufacturingapparatus 30. Then, abnormality determination unit 33 determines whetherthe operation result parameters are normal or not (step S313). When theoperation result parameters are determined to be normal (yes in stepS313), abnormality determination unit 33 generates information (i.e.,normality information) related to a first determination resultassociated with the operation result parameters. Virtual manufacturingunit 32 transmits the normality information indicating that theinformation related to the first determination result (operation resultparameters) is normal to manufacture control apparatus 20 viacommunication unit 35 (step S314). Information related to the firstdetermination result is included in information related to thedetermination result.

On the other hand, when the operation result parameters are determinedto include an abnormality (no in step S313), abnormality determinationunit 33 generates information (i.e., abnormality information) related toa first determination result associated with the operation resultparameters. Virtual manufacturing unit 32 transmits the abnormalityinformation indicating that the information related to the firstdetermination result (operation result parameters) includes anabnormality to manufacture control apparatus 20 via communication unit35 (step S321). The flow of these processes in virtual manufacturingapparatus 30 ends, and processing proceeds to the flow of processes formanufacture control apparatus 20 in FIG. 11. Note that in steps S314 andS321, the operation result parameters generated by virtual manufacturingunit 32 may be transmitted to manufacture control apparatus 20.Moreover, manufacture control apparatus 20 may store the receivedoperation result parameters in storage 24.

Next, as illustrated in FIG. 11, manufacture control apparatus 20receives the information related to the first determination result fromvirtual manufacturing apparatus 30 (step S302).

Next, manufacture control apparatus 20 determines whether theinformation related to the first determination result received fromvirtual manufacturing apparatus 30 is normal or not (step S303). Whenmanufacture control apparatus 20 receives the normality information fromvirtual manufacturing apparatus 30 (yes in step S303), processingproceeds to step S304.

On the other hand, when manufacture control apparatus 20 receives theabnormality information from virtual manufacturing apparatus 30 (no instep S303), control unit 21 in manufacture control apparatus 20 givesnotice that the manufacturing data is abnormal information (step S309).In such cases, whether to generate the manufacturing data again or nomay be determined, and the apparatus may be determined to be infectedwith malware. Then, the flow of processes in manufacture controlapparatus 20 ends.

Next, potential malware is input into manufacture control apparatus 20from input/output unit 26 (step S304). Note that the input of potentialmalware is not limited to an input from input/output unit 26; potentialmalware may be input from over a network.

Next, control unit 21 in manufacture control apparatus 20 transmits thepotential malware to virtual manufacturing apparatus 30 viacommunication unit 25 in manufacture control apparatus 20 (step S305).

Next, as illustrated in FIG. 12, virtual manufacturing apparatus 30receives the potential malware from manufacture control apparatus 20(step S315).

Next, virtual-side control unit 31 executes the potential malware (stepS316). The potential malware has, for example, an exe file format.Execution of the potential malware means applying a patch to an initialprogram. Although virtual manufacturing apparatus 30 is exemplified asbeing infected in this embodiment, at least one of manufacture controlapparatus 20 and virtual manufacturing apparatus 30 may be infected.

Moreover, as illustrated in FIG. 11, manufacturing data is input intomanufacture control apparatus 20 from input/output unit 26 (step S306).

Next, manufacture control apparatus 20 transmits the manufacturing datato virtual manufacturing apparatus 30 (step S307).

Next, as illustrated in FIG. 12, virtual manufacturing apparatus 30receives the manufacturing data (step S317). Virtual-side control unit31 in virtual manufacturing apparatus 30 causes virtual manufacturingunit 32 to virtually manufacture a product based on the manufacturingdata. In other words, virtual-side control unit 31 causes virtualmanufacturing unit 32 to generate operation result parameters (oneexample of the virtual manufacture step (step S318)). In other words, inthe virtual manufacture step, virtual manufacturing apparatus 30virtually manufactures a product via simulation based on productmanufacturing data. Virtual-side control unit 31 stores the generatedoperation result parameters in storage 34. Note that information relatedto manufacturing processes, which forms part of the operation resultparameters, may be transmitted successively.

Next, virtual manufacturing unit 32 transmits the operation resultparameters to abnormality determination unit 33 in virtual manufacturingapparatus 30. Then, abnormality determination unit 33 determines whetherthe operation result parameters are normal or not (step S319). When theoperation result parameters are determined to be normal (yes in stepS319), abnormality determination unit 33 generates information (i.e.,normality information) related to a second determination resultassociated with the operation result parameters. Virtual manufacturingunit 32 transmits the normality information indicating that theinformation related to the second determination result is normal tomalware determination apparatus 50 via communication unit 35 (stepS320). Then, the flow of these processes in virtual manufacturingapparatus 30 ends, and processing proceeds to the flow of processes formalware determination apparatus 50 in FIG. 13. Information related tothe second determination result is included in information related tothe determination result, and is different from the information relatedto the first determination result.

On the other hand, when the operation result parameters are determinedto include an abnormality (no in step S319), abnormality determinationunit 33 generates information (i.e., abnormality information) related toa second determination result associated with the operation resultparameters. Virtual manufacturing unit 32 transmits the abnormalityinformation indicating that the information related to the seconddetermination result is abnormal to malware determination apparatus 50via communication unit 35 (step S322). Then, the flow of these processesin virtual manufacturing apparatus 30 ends, and processing proceeds tothe flow of processes for malware determination apparatus 50 in FIG. 13.

Next, as illustrated in FIG. 13, malware determination apparatus 50determines whether the information related to the second determinationresult (i.e., the normality information or abnormality information) hasbeen received from virtual manufacturing apparatus 30 or not (stepS331).

If malware determination apparatus 50 has not received the informationrelated to the second determination result (i.e., the normalityinformation or abnormality information) from virtual manufacturingapparatus 30, malware determination apparatus 50 may determine that amalfunction has occurred, such as a hang up in the process for virtuallymanufacturing a product based on the manufacturing data, resulting in aninability to generate operation result parameters. Accordingly, whenmalware determination apparatus 50 does not receive information relatedto the second determination result (i.e., normality information orabnormality information) from virtual manufacturing apparatus 30 (no instep S331), malware determination apparatus 50 transmits informationrelated to the result of the potential malware, i.e., informationrelated to the determination that the potential malware is malware, tomanufacture control apparatus 20 (step S334). Then, the flow ofprocesses in malware determination apparatus 50 ends.

On the other hand, when malware determination apparatus 50 receivesinformation related to the second determination result (i.e., normalityinformation or abnormality information) from virtual manufacturingapparatus 30 (yes in step S331), malware determination apparatus 50determines that operation result parameters have been generated.

Next, malware determination apparatus 50 determines whether theabnormality information has been received from virtual manufacturingapparatus 30 or not (one example of the malware determination step (stepS332)). When malware determination apparatus 50 receives the abnormalityinformation from virtual manufacturing apparatus 30 (no in step S332),processing proceeds to step S334. Note that in the malware determinationstep, in a state in which at least one of virtual manufacturingapparatus 30 and manufacture control apparatus 20 that transmitsmanufacturing data to virtual manufacturing apparatus 30 is infectedwith potential malware, when an abnormality is detected from the virtualmanufacture of a product in the virtual manufacture step, the potentialmalware is determined to be malware.

On the other hand, when malware determination apparatus 50 receives theabnormality information from virtual manufacturing apparatus 30 (yes instep S332), malware determination apparatus 50 transmits informationrelated to the result of the potential malware, i.e., informationindicating the determination that the potential malware is not malware,to manufacture control apparatus 20 (step S333). Then, the flow ofprocesses in malware determination apparatus 50 ends.

Next, manufacture control apparatus 20 receives the information relatedto the result of the potential malware from malware determinationapparatus 50 (step S308). Then, the flow of processes in manufacturecontrol apparatus 20 ends.

Note that when the potential malware is not malware, control unit 21 inmanufacture control apparatus 20 may transmit the manufacturing data tophysical manufacturing apparatus 40. Then, the manufacturing unit inphysical manufacturing apparatus 40 may manufacture the product based onthe manufacturing data and generate operation result parameters based onthe manufacturing data. Then, the sequence of processes in malwaredetection system 300 ends.

In this way, in malware detection system 300, by malware determinationapparatus 50 determining whether the potential malware is malware ornot, it is possible to detect malware. Note that the flow chartsillustrated in FIG. 11 through FIG. 13 are not implemented only once;after the first flow of processes is implemented, a new flow ofprocesses can be performed.

Next, an example of operations performed by malware detection system 300when the manufacturing data is normal will be described with referenceto FIG. 14.

FIG. 14 is a sequence diagram of processes performed in malwaredetection system 300 according to Embodiment 2 when the potentialmalware is not malware.

First, as illustrated in FIG. 14, in malware detection system 300, in anormal state in which manufacture control apparatus 20 and virtualmanufacturing apparatus 30 are not infected with malware, manufacturecontrol apparatus 20 transmits manufacturing data to virtualmanufacturing apparatus 30 (step S401).

Next, virtual manufacturing apparatus 30, which is in a normal state,receives the manufacturing data from manufacture control apparatus 20,which is in the normal state, via communication unit 35 in virtualmanufacturing apparatus 30 (step S411). Note that in step S411, it isassumed that the manufacturing data is normal.

Next, virtual manufacturing apparatus 30 causes virtual manufacturingunit 32 to generate operation result parameters based on the normalmanufacturing data (step S412).

Next, abnormality determination unit 33 determines the operation resultparameters to be normal since they are based on normal manufacturingdata, and generates information related to the first determinationresult (i.e., normality information) associated with the operationresult parameters (step S413). Virtual-side control unit 31 stores thegenerated normal operation result parameters and normality informationin storage 34. Virtual manufacturing unit 32 then transmits thenormality information indicating that the operation result parametersare normal to manufacture control apparatus 20 via communication unit 35(step S413). Note that in step S413, the operation result parametersgenerated by virtual manufacturing unit 32 may be transmitted tomanufacture control apparatus 20. Moreover, manufacture controlapparatus 20 may store the received operation result parameters instorage 24.

Next, manufacture control apparatus 20 receives the information relatedto the first determination result (i.e., the normality information) fromvirtual manufacturing apparatus 30 (step S402).

Next, potential malware is input into manufacture control apparatus 20from input/output unit 26 (step S403).

Next, control unit 21 in manufacture control apparatus 20 transmits thepotential malware to virtual manufacturing apparatus 30 viacommunication unit 25 in manufacture control apparatus 20 (step S404).

Next, virtual manufacturing apparatus 30 receives the potential malwarefrom manufacture control apparatus 20 (step S414).

Next, virtual-side control unit 31 executes the potential malware (stepS415).

Moreover, manufacturing data is input into manufacture control apparatus20 from input/output unit 26 (step S405).

Next, manufacture control apparatus 20 transmits the manufacturing datato virtual manufacturing apparatus 30 (step S406).

Next, virtual manufacturing apparatus 30 receives the potential malwarefrom the manufacturing data (step S416).

Next, virtual-side control unit 31 in virtual manufacturing apparatus 30causes virtual manufacturing unit 32 to generate operation resultparameters based on the manufacturing data (one example of the virtualmanufacture step (step S417)). Note that virtual manufacturing apparatus30 transmits information related to manufacturing processes tomanufacture control apparatus 20, and receives control information frommanufacture control apparatus 20. Virtual-side control unit 31 storesthe generated operation result parameters in storage 34.

Next, abnormality determination unit 33 determines whether the operationresult parameters are normal or not (step S418). Abnormalitydetermination unit 33 generates the normality information associatedwith the operation result parameters. Virtual manufacturing unit 32transmits the normality information indicating that the operation resultparameters are normal to malware determination apparatus 50 viacommunication unit 35 (step S419).

Next, malware determination apparatus 50 receives information related tothe second determination result (i.e., the normality information) fromvirtual manufacturing apparatus 30 (step S421).

Next, malware determination apparatus 50 determines there to be noabnormality in the operation result parameters since the informationrelated to the second determination result from virtual manufacturingapparatus 30 is the normality information (step S422).

Next, malware determination apparatus 50 transmits information relatedto the result of the potential malware, i.e., information indicating thedetermination that the potential malware is not malware, to manufacturecontrol apparatus 20 (step S423).

Next, manufacture control apparatus 20 receives the information relatedto the result of the potential malware from malware determinationapparatus 50 (step S407). Then, the flow of processes in manufacturecontrol apparatus 20 ends. In this way, in malware detection system 300,it is possible to detect malware.

Next, an example of operations performed by malware detection system 300when the manufacturing data includes an abnormality will be describedwith reference to FIG. 15.

FIG. 15 is a sequence diagram of processes performed in malwaredetection system 300 according to Embodiment 2 when the potentialmalware is malware.

As illustrated in FIG. 15, in malware detection system 300, the sameprocesses as steps S401 through S406 and steps S411 through S417illustrated in FIG. 14 are performed. In FIG. 15, since the potentialmalware is malware, abnormality determination unit 33 determines theoperation result parameters to include an abnormality (step S518).Abnormality determination unit 33 generates the abnormality informationassociated with the operation result parameters. Virtual manufacturingunit 32 transmits the abnormality information indicating that theoperation result parameters include an abnormality to malwaredetermination apparatus 50 via communication unit 35 (step S519).

Next, the same process as the process in step S421 in FIG. 14 isperformed, and malware determination apparatus 50 determines there to bean abnormality in the operation result parameters since the informationrelated to the second determination result from virtual manufacturingapparatus 30 is the abnormality information (step S522).

Next, the same processes as the processes in steps S423 and S407 in FIG.14 are performed. Then, the flow of processes ends. Here, for example,control unit 21 in manufacture control apparatus 20 may give notice thatthe potential malware is malware.

Operational Advantages

Next, operational advantages of malware detection system 300 and themalware detection method according to the present embodiment will bedescribed.

As described above, in malware detection system 300 according to thisembodiment, malware that causes a malfunction in physical manufacturingapparatus 40 that physically manufactures a product is detected. malwaredetection system 300 includes: a product manufacturing system; andmalware determination apparatus 50 that determines potential malware tobe malware when, in a state in which at least one of virtualmanufacturing apparatus 30 and manufacture control apparatus 20 isinfected with the potential malware, an abnormality is detected from thevirtual manufacture of the product by virtual manufacturing apparatus 30based on the manufacturing data.

With this, since the virtual manufacturing apparatus 30 is caused tomanufacture a virtual product based on manufacturing data (virtualmanufacture step) in a state in which at least one of virtualmanufacturing apparatus 30 and manufacture control apparatus 20 isinfected with potential malware, if the potential malware is malware,malware determination apparatus 50 can detect an abnormality in theproduct virtually manufactured by virtual manufacturing apparatus 30(i.e., in the operation result parameters).

Accordingly, in malware detection system 300, it is possible toaccurately detect malware without affecting product manufacturing.

In a malware detection method according to the present embodiment,malware that causes a malfunction in physical manufacturing apparatus 40that physically manufactures a product is detected. The method includes:virtually manufacturing the product by simulation via virtualmanufacturing apparatus 30, based on manufacturing data on the product;and determining potential malware to be malware when an abnormality isdetected from the virtual manufacturing of the product in a state inwhich at least one of virtual manufacturing apparatus 30 and manufacturecontrol apparatus 20 that transmits the manufacturing data to virtualmanufacturing apparatus 30 is infected with the potential malware.

In this malware detection method as well, it is possible to achieve thesame operational advantages as malware detection system 300.

Moreover, in malware detection system 300 according to this embodiment,virtual manufacturing apparatus 30 includes: virtual manufacturing unit32 that virtually manufactures the product based on the manufacturingdata; and virtual-side control unit 31 that controls operation ofvirtual manufacturing unit 32 based on the manufacturing data.Abnormality determination unit 33 is provided in virtual manufacturingapparatus 30.

With this, after virtual manufacturing unit 32 virtually manufacturesthe product, abnormality determination unit 33 determines whether thereis an abnormality in the virtual manufacture of the product by virtualmanufacturing unit 32. Accordingly, just like with malware detectionsystem 300, it possible to prevent malfunctions in physicalmanufacturing apparatus 40, such as the manufacture of defective goods,the halting of manufacturing equipment, and damage of equipment based onabnormal manufacturing data.

Moreover, in malware detection system 300 according to this embodiment,virtual manufacturing unit 32 generates an operation result parameterrelated to the virtual manufacture of the product, and abnormalitydetermination unit 33 determines whether there is an abnormality in thevirtual manufacture of the product based on the operation resultparameter.

With this, since abnormality determination unit 33 determines whetherthere is an abnormality or not based on operation result parametersreceived from virtual manufacturing unit 32, it is easy to identify thepart of the manufacturing data, based on which virtual manufacturingunit 32 virtually manufactured the product, that is abnormal, byanalyzing the operation result parameters.

Moreover, in malware detection system 300 according to this embodiment,virtual manufacturing unit 32 is a virtual component mounting apparatusthat manufactures the product, and the operation result parameterincludes at least one of: coordinates at which the component mountingapparatus is to mount a component on a substrate; an orientation inwhich the component mounting apparatus is to mount the component on thesubstrate: a type of the component to be mounted by the componentmounting apparatus and a type of the substrate; a rotational speed ofthe component mounting apparatus; a velocity of the component mountingapparatus; a voltage of the component mounting apparatus; a current ofthe component mounting apparatus; and a temperature of the componentmounting apparatus.

With this, since abnormality determination unit 33 determines whetherthere is an abnormality or not based on specific operation resultparameters, it is easy to identify the part of the manufacturing data,based on which virtual manufacturing unit 32 virtually manufactured theproduct, that is abnormal, by analyzing the operation result parameters.

Moreover, in malware detection system 300 according to this embodiment,abnormality determination unit 33 determines whether there is anabnormality in the manufacture of the product based on communicationinformation between virtual-side control unit 31 and virtualmanufacturing unit 32.

With this, since abnormality determination unit 33 reads control ofoperations transmitted to virtual manufacturing unit 32 by virtual-sidecontrol unit 31 from communication information between virtual-sidecontrol unit 31 and virtual manufacturing unit 32 in virtualmanufacturing apparatus 30, it is possible to determine whether there isan abnormality in the operation result parameters early on.

Variation of Embodiment 2

Next, malware detection system 300 a according to this variation will bedescribed with reference to FIG. 16.

FIG. 16 is a block diagram of malware detection system 300 a accordingto a variation of Embodiment 2.

In Embodiment 2, manufacture control apparatus 20, virtual manufacturingapparatus 30, physical manufacturing apparatus 40, and malwaredetermination apparatus 50 are communicably connected to one another,but in this variation, manufacture control apparatus 20, malwaredetermination apparatus 50, virtual manufacturing apparatus 30, andphysical manufacturing apparatus 40 are connected in series in thisorder.

When other configurations are not described in this variation, it isbecause they are the same as in the embodiment. Moreover, like elementsshare like reference signs. Detailed description of such elements willbe omitted.

Manufacture control apparatus 20, malware determination apparatus 50,virtual manufacturing apparatus 30, and physical manufacturing apparatus40 are connected together in series in this order. Manufacture controlapparatus 20 and physical manufacturing apparatus 40 cannot directlycommunicate; manufacture control apparatus 20 and physical manufacturingapparatus 40 are communicably connected via malware determinationapparatus 50 and virtual manufacturing apparatus 30.

Moreover, in malware detection system 300 a according to this variation,manufacture control apparatus 20, malware determination apparatus 50,virtual manufacturing apparatus 30, and physical manufacturing apparatus40 are connected together in series in this order.

When manufacture control apparatus 20, malware determination apparatus50, virtual manufacturing apparatus 30, and physical manufacturingapparatus 40 are communicably connected to one another, for example,control unit 21 in manufacture control apparatus 20 is required to set atransmission destination. Accordingly, when control unit 21 transmitsmanufacturing data to virtual manufacturing apparatus 30, there is aconcern that abnormal manufacturing data may be directly transmitted tophysical manufacturing apparatus 40 as the result of some malfunction.

With the configuration according to this variation, manufacture controlapparatus 20 transmits the manufacturing data to physical manufacturingapparatus 40 via malware determination apparatus 50 and virtualmanufacturing apparatus 30. In other words, malware determinationapparatus 50 and virtual manufacturing apparatus 30 physically segmentscommunication between manufacture control apparatus 20 and physicalmanufacturing apparatus 40. Accordingly, it is unlikely that abnormalmanufacturing data will be directly transmitted to physicalmanufacturing apparatus 40 as the result of a malfunction.

This variation also achieves the other operational advantages achievedby Embodiment 2 as well.

Other Variations, Etc.

Hereinbefore, a product manufacturing system, a malware detectionsystem, a product manufacturing method, and a malware detection methodaccording to the present disclosure have been described based onEmbodiments 1 and 2 and variations thereof, but the present disclosureis not limited to Embodiments 1 and 2 and variations thereof.

For example, in Embodiments 1 and 2 and the variations thereof, asillustrated in FIG. 17 and FIG. 18, abnormality determination unit 233may be provided in manufacture control apparatus 20. FIG. 17 is a blockdiagram of product manufacturing system 200 according to a variation,and FIG. 18 is a block diagram of malware detection system 300 baccording to a variation. In other words, abnormality determination unit233 is provided in manufacture control apparatus 20. Abnormalitydetermination unit 233 determines whether there is an abnormality or notbased on communication information between manufacture control apparatus20 and virtual manufacturing apparatus 30. In this case, abnormalitydetermination unit 233 determines whether there is an abnormality or notfrom communication information between manufacture control apparatus 20and virtual manufacturing apparatus 30. Moreover, when eithermanufacturing system 200 or malware detection system 300 b is infectedwith malware, it is conceivable that the malware could cause anabnormality in the manufacturing data. In such cases, it is possible todetermine whether either of the apparatuses is infected with malware.Moreover, it is possible to determine whether or not there is anabnormality in both items of the communication information. If it ispossible to detect such abnormalities, it possible to preventmalfunctions such as the manufacture of defective goods, the halting ofmanufacturing equipment, and damage of equipment based on abnormalmanufacturing data.

Moreover, in Embodiments 1 and 2 and the variations thereof, theoperation result parameters used by the abnormality determination unitare exemplified as being those output by the virtual manufacturingapparatus and the physical manufacturing apparatus, but when informationequivalent to the operation result parameters is included in a controlsignal, it is not necessary for the virtual manufacturing apparatus andthe physical manufacturing apparatus to output the operation resultparameters; the operation result parameters included in the output fromthe virtual-side control unit may be used by the abnormalitydetermination unit.

Moreover, in Embodiments 1 and 2 and the variations thereof, theabnormality determination unit may be provided as a separate deviceindependent from the manufacture control apparatus and the virtualmanufacturing apparatus.

Moreover, in Embodiments 1 and 2 and the variations thereof, the virtualmanufacturing apparatus and the physical manufacturing apparatus may beintegrated together as a single apparatus. In such cases, the virtualmanufacturing apparatus virtually manufactures the product based on themanufacturing data, and when the manufacturing data is normal, thevirtual manufacturing apparatus may directly transmit that manufacturingdata to the physical manufacturing apparatus.

Moreover, in Embodiments 1 and 2 and the variations thereof, themanufacture control apparatus and the virtual manufacturing apparatusmay be integrated together as a single apparatus.

Moreover, in Embodiment 2 and the variation thereof, the malwaredetection system includes a physical manufacturing apparatus, but themalware detection system need not include a physical manufacturingapparatus.

Moreover, in Embodiments 1 and 2 and the variations thereof, theelements included in the manufacture control apparatus, the virtualmanufacturing apparatus, the physical manufacturing apparatus, and themalware determination apparatus are configured from, specifically, amicroprocessor, RAM, ROM, and a hard disk, etc. The RAM, ROM, and harddisk may store a computer program, and the functions of the manufacturecontrol apparatus, the virtual manufacturing apparatus, the physicalmanufacturing apparatus, and the malware determination apparatus may beexecuted by the microprocessor performing operations in accordance withthe program. Each element in the manufacture control apparatus, thevirtual manufacturing apparatus, the physical manufacturing apparatus,and the malware determination apparatus is typically implemented in theform of a large scale integrated (LSI) circuit (also referred to as anIC, system LSI circuit, super LSI circuit, or ultra LSI circuitdepending on scale). Each element may be realized as a single chip, and,alternatively, one or more elements or a portion of each of the elementsmay be integrated as a single chip. Moreover, the method of circuitintegration is not limited to LSI. Integration may be realized with aspecialized circuit or a general purpose processor. After the LSIcircuit is manufactured, a field programmable gate array (FPGA) or areconfigurable processor capable of reconfiguring the connections andsettings of the circuit cells in the large scale integrated circuit maybe used. Furthermore, when advancement in semiconductor technology orderivatives of other technologies brings forth a circuit integrationtechnology which replaces LSI, it will be appreciated that such acircuit integration technology may be used to integrate the functionalblocks. Application of biotechnology is also a possibility. Stillfurthermore, each functional block may be realized as software, and,alternatively, may be realized as a combination of an LSI circuit andsoftware. The software may be tamper-proof.

Hereinbefore, one or more aspects of the present disclosure have beendescribed based on Embodiments 1 and 2 and variations thereof, but thepresent disclosure is not limited to Embodiments 1 and 2 and thevariations thereof. Those skilled in the art will readily appreciatethat many modifications are possible in the exemplary embodiment withoutmaterially departing from the novel teachings and advantages of thepresent disclosure. Accordingly, all such modifications are intended tobe included within one or more aspects of the present disclosure.

INDUSTRIAL APPLICABILITY

The present disclosure is applicable in industrial systems related to,for example, the manufacture of electronic components or the like.

The invention claimed is:
 1. A product manufacturing system thatmanufactures a product, the product manufacturing system comprising: amanufacture control apparatus configured to hold manufacturing data formanufacturing the product; a virtual manufacturing apparatus configuredto virtually manufacture the product by simulation, based on themanufacturing data on the product held in the manufacture controlapparatus; a physical manufacturing apparatus configured to physicallymanufacture the product based on the manufacturing data held in themanufacture control apparatus; and a processor configured to determinewhether there is an abnormality in the manufacturing data as a result ofthe virtual manufacture of the product based on the manufacturing data,wherein, when the processor determines there to be no abnormality fromthe virtual manufacture of the product, the physical manufacturingapparatus physically manufactures the product.
 2. The productmanufacturing system according to claim 1, wherein the virtualmanufacturing apparatus is configured to generate an operation resultparameter related to the virtual manufacture of the product, and theprocessor is configured to determine whether there is an abnormality inthe virtual manufacture of the product based on the operation resultparameter.
 3. The product manufacturing system according to claim 2,wherein the virtual manufacturing apparatus is a component mountingapparatus that is virtual and configured to manufacture the product, andthe operation result parameter includes at least one of: coordinates atwhich the component mounting apparatus is to mount a component on asubstrate; an orientation in which the component mounting apparatus isto mount the component on the substrate: a type of the component to bemounted by the component mounting apparatus and a type of the substrate;a rotational speed of the component mounting apparatus; a velocity ofthe component mounting apparatus; a voltage of the component mountingapparatus; a current of the component mounting apparatus; and atemperature of the component mounting apparatus.
 4. The productmanufacturing system according to claim 1, wherein the processor isconfigured to determine whether there is an abnormality in themanufacture of the product based on communication information from thevirtual manufacturing apparatus.
 5. The product manufacturing systemaccording to claim 1, wherein the processor is provided in themanufacture control apparatus, and the processor is configured todetermine whether there is an abnormality based on communicationinformation between the manufacture control apparatus and the virtualmanufacturing apparatus.
 6. The product manufacturing system accordingto claim 1, wherein the manufacture control apparatus, the virtualmanufacturing apparatus, and the physical manufacturing apparatus areconnected in series in this order.
 7. A malware detection system thatdetects malware that causes a malfunction in the physical manufacturingapparatus that physically manufactures the product, the malwaredetection system comprising: the product manufacturing system accordingto claim 1; and a malware determination apparatus configured todetermine potential malware to be malware when, in a state in which atleast one of the virtual manufacturing apparatus and the manufacturecontrol apparatus is infected with the potential malware, an abnormalityis detected from the virtual manufacture of the product by the virtualmanufacturing apparatus based on the manufacturing data.
 8. The malwaredetection system according to claim 7, wherein the processor is providedin the virtual manufacturing apparatus.
 9. The malware detection systemaccording to claim 8, wherein the virtual manufacturing apparatus isconfigured to generate an operation result parameter related to thevirtual manufacture of the product, and the processor is configured todetermine whether there is an abnormality in the virtual manufacture ofthe product based on the operation result parameter.
 10. The malwaredetection system according to claim 9, wherein the virtual manufacturingapparatus is a component mounting apparatus that is virtual andconfigured to manufacture the product, and the operation resultparameter includes at least one of: coordinates at which the componentmounting apparatus is to mount a component on a substrate; anorientation in which the component mounting apparatus is to mount thecomponent on the substrate: a type of the component to be mounted by thecomponent mounting apparatus and a type of the substrate; a rotationalspeed of the component mounting apparatus; a velocity of the componentmounting apparatus; a voltage of the component mounting apparatus; acurrent of the component mounting apparatus; and a temperature of thecomponent mounting apparatus.
 11. The malware detection system accordingto claim 8, wherein the processor is configured to determine whetherthere is an abnormality in the manufacture of the product based oncommunication information from the virtual manufacturing apparatus. 12.The malware detection system according to claim 7, wherein the processoris provided in the manufacture control apparatus, and the processor isconfigured to determine whether there is an abnormality based oncommunication information between the manufacture control apparatus andthe virtual manufacturing apparatus.
 13. The malware detection systemaccording to claim 7, wherein the manufacture control apparatus, themalware determination apparatus, the virtual manufacturing apparatus,and the physical manufacturing apparatus are connected in series in thisorder.
 14. A product manufacturing method for manufacturing a product,the method comprising: virtually manufacturing the product bysimulation, based on manufacturing data for manufacturing the product;determining whether there is an abnormality in the manufacturing data asa result of the virtual manufacturing of the product based on themanufacturing data; and physically manufacturing the product based onthe manufacturing data when the determining determines there to be noabnormality from the virtual manufacturing of the product.